Allan De Freitas

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Target tracking faces the challenge in coping with large volumes of data which requires efficient methods for real time applications. The complexity considered in this paper is when there is a large number of measurements which are required to be processed at each time step. Sequential Markov chain Monte Carlo (MCMC) has been shown to be a promising(More)
OBJECTIVE To determine the safety and efficacy of a transdermal nanostructured formulation of progesterone (10%) combined with estriol (0.1%) + estradiol (0.25%) for relieving postmenopausal symptoms. METHODS A total of 66 postmenopausal Brazilian women with climacteric symptoms of natural menopause received transdermal nanostructured formulations of(More)
Target tracking in distributed networks faces the challenge in coping with large volumes of distributed data which requires efficient methods for real time applications with minimal communication overhead. The complexity considered in this paper is when each sensor in a distributed network observes a large number of measurements which are all required to be(More)
This paper focuses on tracking large groups of objects, such as crowds of pedestrians. Large groups generate multiple measurements with uncertain origin. Additionally, often the sensor noise characteristics are unknown but bounded within known intervals. Hence, these two types of uncertainties call for flexible techniques capable of offering a solution in(More)
A target of interest measured by a high range-resolution radar sensor may be modeled by multiple dominant points of reflections referred to as scatterers. In this paper a state space model governed by static motion parameters is used to represent the motion and measurements of the scatterers moving in two dimensions. A dynamic Bayesian method, based on a(More)
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